code: def binarize(T, nb_classes):
      T = T.cpu().numpy()
      import sklearn.preprocessing
  
      T = sklearn.preprocessing.label_binarize(
          T, classes=range(0, nb_classes)
      )
      T = torch.FloatTensor(T)
      return T
  
file_path: pytorch-metric-learning/tests/losses/test_proxy_anchor_loss.py
imports: from contextlib import nullcontext
  import torch
  import torch.nn
  import torch.nn.functional
  import unittest
  import torch
  from pytorch_metric_learning.losses import ProxyAnchorLoss
  from ..None import TEST_DEVICE, TEST_DTYPES
  from ..zzz_testing_utils.testing_utils import angle_to_coord
label_desc: Use image node_id 1 for calling a global function with example usage: binarize(T, nb_classes) and returns: T